myself/yaml/prod/project-secretary-prod.yaml

server:
  port: 8080 #端口

spring:
  cloud:
    # nacos
    nacos:
      discovery:
        register-enabled: true
        server-addr: nacos-server-hostname:8848
        username: nacos-prod
        password: centralprod
        namespace: a894fba3-ee6e-4dc7-938b-ad11112ccfa9
    circuitbreaker:
      sentinel:
        enabled: true
    sentinel:
      enabled: true
      transport:
        dashboard: sentinel-hostname:8858
        port: 8719
      datasource:
        ds-flow-rules:
          nacos:
            server-addr: nacos-server-hostname:8848
            username: nacos-prod
            password: centralprod
            namespace: 81037616-96ae-412c-a060-a633ba9731b9
            group-id: SENTINEL_GROUP
            data-id: ${spring.application.name}-flow-rules
            rule-type: flow
            data-type: json

  # 数据库配置
  datasource:
    url: jdbc:mysql://${ENV_DEFAULT_MYSQL_SERVER_ADDR}/secretary?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true
    username: project
    password: project1205

  # rabbitmq配置
  rabbitmq:
    host: rabbitmq-hostname
    port: 5672
    username: central
    password: 240203qqqQQQWER

  # redis配置
  redis:
    host: redis-hostname
    port: 6379
    database: 0
    password: HorO9496sCopE
    clientName: ${spring.application.name}-redis

# 日志配置
logging:
  level:
    com:
      atmob:
        central: info

tencent:
  cloud:
    cos:
      secretId: AKIDkJbcBds6DAybJtEI6j8G9rNkvqgKl061
      secretKey: pSqyqa7NN6ZmkRbZIn10lgQwDEySpz1r
      bucketName: assist-1255984948
      cdnHost: https://cdn.reallyshort.cn

    # 腾讯云语音识别
    audio:
      secretId: AKIDrY1GI9mALI1aw4yd5JOHxPeeOwGLJ2Xn
      secretKey: 5vQgiV3NXt0tXx78vTmskNAj3B5lFVWK
      # 是否开启腾讯云语音识别日志
      debug: false
      # 引擎模型类型
      engineModelType: 16k_zh_large
      # 识别声道数
      channelNum: 1
      # 识别结果返回样式
      resTextFormat: 3
      # 音频数据来源
      sourceType: 0
      # 是否开启说话人分离
      speakerDiarization: 1
      # 说话人分离人数(为0代表自动分离)
      speakerNumber: 0
      # 脏词过滤
      filterDirty: 1
      # 标点符号过滤
      filterPunc: 0
      # 语气词过滤
      FilterModal: 1

bytedance:
  # 火山引擎语音识别
  audio:
    host: https://openspeech.bytedance.com
    appId: 9991713081
    accessToken: yz9sdCUFcg21UbpST2PP_G8Pt3WyCB_3
    resourceId: volc.bigasr.auc
    sequence: -1
    # 模型名称
    modelName: bigmodel
    # 是否启用标点
    enablePunc: true
    # 是否启用说话人聚类分离
    enableSpeakerInfo: true
    # 限制文件大小 500M * 1024 * 1024
    fileSize: 524288000
    # 限制文件时长 4H * 60 * 60
    fileDuration: 14400


config:
  talk:
    # 任务过期时间 60 * 60 * 1000L = 60min
    taskExpiredMillis: 3600000
    # 任务超时时间 40 * 60 * 1000L = 40min
    taskTimeoutMillis: 2400000
    # 如果当前用户有任务在队列，延迟2s后进入队列
    handlingDelayMillis: 2000
    # 轮询查询语音识别结果间隔 20s
    resultPollingIntervalMillis: 20000
    # 轮询查询语音识别结果超时时间 30 * 60 * 1000L = 30min
    resultPollingTimeoutMillis: 1800000
    # 同一用户最大提交任务数
    maxRunningTasks: 5

  chat: # 可用模型：Doubao-lite-32k、Doubao-lite-128k、Doubao-pro-32k、Doubao-pro-128k
    # 生成总结模型
    summary32kModel: Doubao-pro-32k
    summary128kModel: Doubao-pro-128k
    # 生成标题模型
    title32kModel: Doubao-lite-32k
    title128kModel: Doubao-lite-128k
    # 生成待办模型
    agenda32kModel: Doubao-pro-32k
    agenda128kModel: Doubao-pro-128k
    # 对话模型
    chat32kModel: Doubao-pro-32k
    chat128kModel: Doubao-pro-128k
    # 合并总结和待办模型
    mergeModel: Doubao-pro-32k
    # 翻译模型
    translateModel: Doubao-lite-32k